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Concurrent Technologies (LSE:CNC) Inventory Turnover : 0.86 (As of Dec. 2023)


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What is Concurrent Technologies Inventory Turnover?

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. Concurrent Technologies's Cost of Goods Sold for the six months ended in Dec. 2023 was £9.92 Mil. Concurrent Technologies's Average Total Inventories for the quarter that ended in Dec. 2023 was £11.50 Mil. Concurrent Technologies's Inventory Turnover for the quarter that ended in Dec. 2023 was 0.86.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Concurrent Technologies's Days Inventory for the six months ended in Dec. 2023 was 211.67.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Concurrent Technologies's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 0.59.


Concurrent Technologies Inventory Turnover Historical Data

The historical data trend for Concurrent Technologies's Inventory Turnover can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Concurrent Technologies Inventory Turnover Chart

Concurrent Technologies Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 2.00 1.84 1.51 1.14 1.45

Concurrent Technologies Semi-Annual Data
Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Inventory Turnover Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.73 0.46 0.58 0.58 0.86

Concurrent Technologies Inventory Turnover Calculation

Concurrent Technologies's Inventory Turnover for the fiscal year that ended in Dec. 2023 is calculated as

Inventory Turnover (A: Dec. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Dec. 2023 ) / ((Total Inventories (A: Dec. 2022 ) + Total Inventories (A: Dec. 2023 )) / count )
=16.018 / ((10.09 + 11.959) / 2 )
=16.018 / 11.0245
=1.45

Concurrent Technologies's Inventory Turnover for the quarter that ended in Dec. 2023 is calculated as

Inventory Turnover (Q: Dec. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Dec. 2023 ) / ((Total Inventories (Q: Jun. 2023 ) + Total Inventories (Q: Dec. 2023 )) / count )
=9.918 / ((11.048 + 11.959) / 2 )
=9.918 / 11.5035
=0.86

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Concurrent Technologies  (LSE:CNC) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Concurrent Technologies's Days Inventory for the six months ended in Dec. 2023 is calculated as:

Days Inventory =Average Total Inventories (Q: Dec. 2023 )/Cost of Goods Sold (Q: Dec. 2023 )*Days in Period
=11.5035/9.918*365 / 2
=211.67

2. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

Concurrent Technologies's Inventory to Revenue for the quarter that ended in Dec. 2023 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Dec. 2023 ) / Revenue (Q: Dec. 2023 )
=11.5035 / 19.517
=0.59

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.


Concurrent Technologies Inventory Turnover Related Terms

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Concurrent Technologies (LSE:CNC) Business Description

Traded in Other Exchanges
Address
4 Gilberd Court, Newcomen Way, Colchester, Essex, GBR, CO4 9WN
Concurrent Technologies PLC is engaged in designing, manufacturing, and supplying innovative high-end embedded computer products aimed at a wide base of customers within the defense, telecommunications, aerospace, transport, scientific, and industrial markets. Its core product range is central processing unit (CPU) boards, designed using Intel processors including the high-performance 11th-generation embedded Intel Core and Intel Xeon processors designed to be compliant with the CompactPCI, OpenVPX, VME, AMC, and XMC open architecture standards. The company's products also support many operating systems including Microsoft Windows, Linux, Solaris, QNX, and VxWorks, all of which are commonly used as standards in embedded applications.